Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Issues And Trends In Healthcare Delivery System

Issues And Trends In Healthcare Delivery System

The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

A genome-scale CRISPRi perturbation atlas of human induced pluripotent stem cells.

Nature biotechnology·2026

Same author

Cost-Effectiveness of EEG Monitoring in Hypoxic-Ischemic Brain Injury After Cardiac Arrest.

Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society·2026

Same author

Brain states recur across diverse narrative contexts during longitudinal viewing.

bioRxiv : the preprint server for biology·2026

Same author

Tonotopic specialization of MYO7A isoforms in auditory hair cells.

Nature communications·2026

Same author

GOLDEN fusion: a graph-oriented learning with domain-embedding network fusion for generating super gene sets in functional genomics.

Briefings in bioinformatics·2026

Same author

A layered standards framework for integrating single-cell and spatial omics data into brain cell atlases.

bioRxiv : the preprint server for biology·2026

Same journal

Genetic Impacts on Variability of Body Fat Distribution Uncover Gene-Environment and Gene-Gene Interactions.

bioRxiv : the preprint server for biology·2026

Same journal

16S ribosomal RNA modification drives transcript-specific translation efficiency.

bioRxiv : the preprint server for biology·2026

Same journal

FlcE latches onto the FliL-stator complex to turbocharge flagellar motility in <i>Borrelia burgdorferi</i>.

bioRxiv : the preprint server for biology·2026

Same journal

Synaptic pruning, myelination and the emergence of psychiatric disorders in late adolescence.

bioRxiv : the preprint server for biology·2026

Same journal

Structural and functional insights into the Rcs phosphorelay.

bioRxiv : the preprint server for biology·2026

Same journal

The structural basis of RanGAP1 regulation and catalysis in nuclear transport.

bioRxiv : the preprint server for biology·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 8, 2025

Biobank for Translational Medicine: Standard Operating Procedures for Optimal Sample Management

Biobank for Translational Medicine: Standard Operating Procedures for Optimal Sample Management

Published on: November 30, 2022

AI-readiness Criteria for Biomedical Data.

Timothy Clark¹, Harry Caufield², Jillian A Parker³

¹University of Virginia.

Biorxiv : the Preprint Server for Biology

|November 1, 2024

Summary

This summary is machine-generated.

The National Institutes of Health

More Related Videos

TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients

TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients

Published on: April 13, 2021

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

Related Experiment Videos

Last Updated: Jun 8, 2025

Biobank for Translational Medicine: Standard Operating Procedures for Optimal Sample Management

Biobank for Translational Medicine: Standard Operating Procedures for Optimal Sample Management

Published on: November 30, 2022

TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients

TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients

Published on: April 13, 2021

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

Area of Science:

Biomedical research and clinical practice
Artificial Intelligence (AI) and Machine Learning (ML) in medicine

Background:

Biomedical research is increasingly adopting AI/ML for deeper insights.
Deep learning methods present challenges in explainability and ethics.
The U.S. National Institutes of Health (NIH) launched Bridge2AI to advance AI/ML in biomedicine.

Purpose of the Study:

To present methods for assessing AI-readiness of biomedical data.
To outline data standards, criteria, and considerations for AI/ML in biomedicine.
To address ethical, legal, and social implications (ELSI) and explainable AI (XAI).

Main Methods:

Development of criteria for AI-readiness of data.
Establishment of data standards perspectives within the Bridge2AI program.
Focus on XAI and ELSI considerations for AI technologies.

Main Results:

Foundational criteria for scientific rigor in biomedical AI.
Methods for assessing data suitability for AI/ML analysis.
Guidelines for ethical design and application of AI in medicine.

Conclusions:

Established criteria are essential for rigorous and ethical biomedical AI.
The Bridge2AI program aims to disseminate data, tools, and methods.
These standards support the responsible integration of AI/ML in healthcare.